{"id":"W2055955832","doi":"10.1109/icpads.2011.24","title":"An Efficient Video Adaptation Scheme for SVC Transport over LTE Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Scalable Video Coding; 3rd Generation Partnership Project 2; Unicast; Video quality; Multicast; Network packet; Real-time computing; Packet loss; Throughput; Cellular network; Jitter; Wireless; Scalability; Telecommunications; Telecommunications link","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001939176,0.0001137719,0.0001133472,0.00008252088,0.0001256042,0.00004185499,0.0007990564,0.00009141568,0.00003030155],"category_scores_gemma":[0.00001100001,0.0000908511,0.00006640545,0.0001871447,0.00003094893,0.0002552448,0.00005317574,0.00008451653,0.000007262917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001280202,"about_ca_system_score_gemma":0.00002225128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004795635,"about_ca_topic_score_gemma":0.00001188143,"domain_scores_codex":[0.9990538,0.00001462288,0.0001835283,0.0003559352,0.0001463585,0.0002457621],"domain_scores_gemma":[0.9992074,0.00003231374,0.00006018759,0.000572266,0.00006676844,0.00006109255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000104437,0.0006216558,0.003533508,0.00002839394,0.00004388361,0.00001224028,0.003082431,0.04372025,0.00189474,0.6455663,0.002879114,0.298513],"study_design_scores_gemma":[0.0002567571,0.0001616523,0.003949945,0.00001555591,0.000003840617,0.000001481839,0.00007915906,0.9865429,0.004984346,0.002986936,0.0008604274,0.0001570379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05211679,0.00005842695,0.9450616,0.00009170449,0.0002532636,0.000167485,7.223802e-7,0.001020768,0.001229242],"genre_scores_gemma":[0.8009111,0.000005274213,0.1987122,0.0001435809,0.00002146608,0.00004463692,0.000001799987,0.000006217437,0.0001537146],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9428226,"threshold_uncertainty_score":0.37048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020100519921702,"score_gpt":0.2554395719199862,"score_spread":0.2052385667207691,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}